Master the Art of Data-Driven Decision Making with ENCODE-IT’s Data Analytics Training

Course Introduction: In today’s fast-paced digital world, the ability to analyze data and extract
actionable insights is more valuable than ever. Data Analytics is the process of inspecting, cleaning,
transforming, and modeling data to uncover useful information, draw conclusions, and support
decision-making. Whether you're working in business, healthcare, marketing, or technology, data
analytics is a critical skill that can help you make informed decisions that drive success.

ENCODE-IT’s Data Analytics Training equips professionals with the essential skills to analyze,
interpret, and visualize data using powerful tools and techniques. This comprehensive course covers
everything from basic data analysis principles to advanced analytical methods, empowering you to
turn raw data into meaningful insights. You'll learn to use popular tools like Excel, Python, R, SQL,
and Tableau to analyze large datasets, develop predictive models, and visualize trends that can
influence strategic business decisions.

Ideal for aspiring data analysts, business analysts, or professionals looking to enhance their analytical
capabilities, this course will prepare you to apply data analytics in real-world scenarios, helping you
become an invaluable asset in any data-driven organization.

Salary Scale in India: The demand for Data Analytics professionals continues to rise as businesses
recognize the value of data-driven insights. Skilled data analysts can expect competitive salaries in a
variety of industries, such as finance, healthcare, retail, e-commerce, and technology.

 Entry-Level Data Analyst: ₹4 Lakhs to ₹8 Lakhs per annum
 Mid-Level Data Analyst/Business Analyst: ₹8 Lakhs to ₹15 Lakhs per annum
 Senior Data Analytics Consultant/Data Scientist: ₹15 Lakhs to ₹30 Lakhs+ per annum

With data analytics becoming a critical component of decision-making across industries, the career
opportunities for skilled data analysts are abundant and continue to grow, offering attractive
compensation packages.

Placement Assistance & Certification: Upon completing ENCODE-IT’s Data Analytics Training, you
will receive an ENCODE-IT Certification, validating your expertise in data analysis and analytics tools.
Our Placement Assistance team will support you in securing job interviews by offering resume
writing, interview preparation, and job placement services. With our help, you will be ready to land a
fulfilling career in the field of data analytics.

Course Curriculum:

1. Introduction to Data Analytics
o What is Data Analytics? Importance and Applications
o Overview of the Data Analytics Process: Data Collection, Cleaning, Transformation,
and Analysis
o Understanding Data Types: Structured, Unstructured, and Semi-structured Data
o Key Concepts in Data Analytics: Descriptive, Predictive, and Prescriptive Analytics
o Tools and Technologies Used in Data Analytics: Excel, SQL, Python, R, Tableau

2. Data Collection and Cleaning

o Data Collection Techniques: Surveys, Web Scraping, APIs, and Databases
o Data Quality: Ensuring Accurate and Reliable Data
o Data Cleaning: Handling Missing Data, Duplicates, and Outliers
o Transforming Data for Analysis: Normalization, Aggregation, and Categorization
o Using Excel and Python for Data Cleaning and Preprocessing

3. Data Visualization
o Introduction to Data Visualization: The Importance of Visualizing Data
o Creating Charts and Graphs in Excel: Line, Bar, Pie, and Histogram
o Advanced Data Visualizations in Tableau and Power BI
o Building Interactive Dashboards for Business Insights
o Best Practices for Effective Data Presentation and Storytelling

4. Statistical Analysis and Descriptive Analytics
o Introduction to Descriptive Analytics: Summarizing Data and Identifying Patterns
o Key Statistical Measures: Mean, Median, Mode, Standard Deviation, and Variance
o Data Distribution and Probability Theory
o Visualizing Data Distributions with Histograms and Box Plots
o Analyzing Trends and Patterns in Historical Data

5. Exploratory Data Analysis (EDA)
o Introduction to EDA and Its Role in Data Analytics
o Identifying Relationships Between Variables Using Scatter Plots
o Correlation and Covariance Analysis
o Hypothesis Testing and Statistical Inference
o Identifying Outliers and Anomalies in Data

6. Predictive Analytics and Regression
o Introduction to Predictive Analytics and Forecasting
o Linear Regression: Building and Interpreting Regression Models
o Multiple Regression for Analyzing Complex Relationships
o Logistic Regression for Binary Classification
o Model Evaluation: Accuracy, Precision, Recall, and F1 Score

7. Data Mining Techniques
o Introduction to Data Mining: Extracting Useful Patterns from Large Datasets

o Clustering and Classification Techniques: K-Means, Decision Trees, and Random
Forests
o Association Rule Mining and Market Basket Analysis
o Implementing Data Mining Algorithms Using Python and R
o Evaluating the Performance of Data Mining Models

8. Time Series Analysis
o Understanding Time Series Data and Applications
o Analyzing Trends, Seasonality, and Noise in Time Series Data
o Forecasting Time Series Data Using ARIMA Models
o Advanced Techniques for Time Series Forecasting
o Applications of Time Series Analysis in Business and Finance

9. Big Data Analytics
o Introduction to Big Data and the Challenges of Analyzing Large Datasets
o Tools for Big Data Analytics: Hadoop, Spark, and NoSQL Databases
o Using Python and R for Big Data Processing
o Analyzing Real-Time Data with Streaming Analytics
o Big Data Visualization with Tableau and Power BI

10. Machine Learning in Data Analytics
o Introduction to Machine Learning Algorithms for Data Analytics
o Supervised Learning: Classification and Regression Algorithms
o Unsupervised Learning: Clustering and Dimensionality Reduction
o Model Training, Evaluation, and Tuning
o Machine Learning Applications in Business Analytics

11. Data Analytics for Business Decision Making
o Leveraging Data Analytics for Business Insights and Strategy
o Using Analytics to Optimize Operations, Marketing, and Customer Engagement
o Building Data-Driven Models for Predictive Decision Making
o Creating Reports and Dashboards for Key Performance Indicators (KPIs)
o Data Analytics in Financial, Marketing, and Operational Decision Making

12. Advanced Analytics and Optimization Techniques
o Introduction to Prescriptive Analytics and Decision Optimization

o Optimization Techniques for Business Problems: Linear Programming, Integer
Programming
o Simulation Modeling for Business Processes
o Monte Carlo Simulations and Scenario Analysis
o Implementing Advanced Analytics Techniques for Complex Business Problems

13. Real-World Data Analytics Projects
o Building a Predictive Model for Customer Churn
o Analyzing Sales Data for Market Segmentation and Growth
o Optimizing Marketing Campaigns Using Analytics
o Implementing Financial Analytics for Investment Decisions
o Developing Dashboards for Real-Time Business Performance Monitoring

14. Final Project and Certification Exam
o Final Project: Complete Data Analytics Project from Data Collection to Reporting
o Project Evaluation: Showcase Your Skills in Solving Business Problems
o Final Exam: Comprehensive Test on Data Analytics Concepts and Techniques
o Certification of Completion from ENCODE-IT and Job Placement Assistance

Key Features of the Course:
 Tools & Platforms: Excel, Python, R, Tableau, SQL, Power BI, Hadoop, Spark
 Real-World Projects: Work on real-world data analytics projects, including predictive
modeling, time series analysis, and business optimization
 Certification & Placement Support: ENCODE-IT certification and job placement assistance to
help you land your dream job in data analytics
 Expert Instructors: Learn from experienced professionals with deep knowledge of data
analytics techniques and tools
 Career Advancement: Develop in-demand skills in data analytics to advance your career in
various industries such as finance, healthcare, marketing, and more

By completing ENCODE-IT’s Data Analytics Training, you will gain hands-on experience with
industry-standard tools and techniques, preparing you to become a proficient data analyst capable
of driving strategic decisions through the power of data. This training will open doors to exciting
career opportunities in a variety of fields where data plays a crucial role.